Results 11 to 20 of about 10,333,076 (321)
IEEE Access, 2022 In this paper, a new bio-inspired metaheuristic algorithm called Zebra Optimization Algorithm (ZOA) is developed; its fundamental inspiration is the behavior of zebras in nature. ZOA simulates the foraging behavior of zebras and their defense strategy against predators’ attacks. The ZOA steps are described and then mathematically modeled.
Eva Trojovska +2 more
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Constrained ear decompositions in graphs and digraphs [PDF]
Discrete Mathematics & Theoretical Computer Science, 2019 Ear decompositions of graphs are a standard concept related to several major problems in graph theory like the Traveling Salesman Problem. For example, the Hamiltonian Cycle Problem, which is notoriously N P-complete, is equivalent to deciding whether a ...
Frédéric Havet, Nicolas Nisse
doaj +1 more source
An overview of gradient descent optimization algorithms [PDF]
Vestnik komp iuternykh i informatsionnykh tekhnologii, 2016 The statistical testing technique is considered to compare the metrics values of machine learning models on a test set. Since the values of metrics depend not only on the models, but also on the data, it may turn out that different models are the best on
Sebastian Ruder
semanticscholar +1 more source
Nature-Inspired Optimization Algorithms: Challenges and Open Problems [PDF]
Journal of Computer Science, 2020 Nature-Inspired Optimization Algorithms provides a systematic introduction to all major nature-inspired algorithms for optimization. The book's unified approach, balancing algorithm introduction, theoretical background and practical implementation ...
Xin-She Yang
semanticscholar +1 more source
Review of Metaheuristic Optimization Algorithms for Power Systems Problems
Sustainability, 2023 Metaheuristic optimization algorithms are tools based on mathematical concepts that are used to solve complicated optimization issues. These algorithms are intended to locate or develop a sufficiently good solution to an optimization issue, particularly ...
A. Nassef +3 more
semanticscholar +1 more source
On interval number in cycle convexity [PDF]
Discrete Mathematics & Theoretical Computer Science, 2018 Recently, Araujo et al. [Manuscript in preparation, 2017] introduced the notion of Cycle Convexity of graphs. In their seminal work, they studied the graph convexity parameter called hull number for this new graph convexity they proposed, and they ...
Julio Araujo +3 more
doaj +1 more source
Italian National Conference on Sensors, 2023 In recent decades, structural health monitoring (SHM) has gained increased importance for ensuring the sustainability and serviceability of large and complex structures.
Sahar Hassani, Ulrike Dackermann
semanticscholar +1 more source
Combinatorial optimization in networks with Shared Risk Link Groups [PDF]
Discrete Mathematics & Theoretical Computer Science, 2016 The notion of Shared Risk Link Groups (SRLG) captures survivability issues when a set of links of a network may fail simultaneously. The theory of survivable network design relies on basic combinatorial objects that are rather easy to compute in the ...
David Coudert +3 more
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Survey of Optimization Algorithms in Modern Neural Networks
Mathematics, 2023 The main goal of machine learning is the creation of self-learning algorithms in many areas of human activity. It allows a replacement of a person with artificial intelligence in seeking to expand production.
R. Abdulkadirov, P. Lyakhov, N. Nagornov
semanticscholar +1 more source
Instance-Optimal Geometric Algorithms [PDF]
Journal of the ACM, 2009 We prove the existence of an algorithm A for computing 2D or 3D convex hulls that is optimal for every point set in the following sense: for every sequence σ of n points and for every algorithm A ′ in a certain class A ...
Afshani, Peyman +2 more
openaire +5 more sources